This session will tell us about the different key roles in a data-driven organization. And the core skill-set required by the team. How they are dependent on each other.
What is the difference between Data Science and Data Analytics.pdfRoshni Sharma
This article explores the distinction between data science and data analytics, highlighting the contrasting roles and methodologies employed in these two fields, helping readers gain a clear understanding of their unique contributions to the world of data.
Learn about the different Job Profiles in Big Data and Why is Big Data the best career move? Learn Big Data from StackDataLabs and get certified by the Professionals!
Data and Analytics Career Paths, Presented at IEEE LYC'19.
About Speaker:
Ahmed Amr is a Data/Analytics Engineer at Rubikal, where he leads, develops, and creates daily data/analytics operations, which includes data ingestion , data streaming, data warehousing, and analytical dashboards. Ahmed is graduated from Computer Engineering Department, Alexandria University; and he is currently pursuing his MSc degree in Computer Science, AAST. Professionally, Ahmed worked with Egyptian/US startups such as (Badr, Incorta, WhoKnows) to develop their data/analytics projects. Academically, Ahmed worked as a Teaching Assistant in CS department, AAST. Ahmed helps software companies to develop robust data engineering infrastructure, and powerful analytical insights.
References:
1) https://www.datacamp.com/community/tutorials/data-science-industry-infographic
2) Analytics: The real-world use of big data, IBM, Executive Report
Data scientists are the experts in analyzing and in delivering unique solutions for complex problems in business. They work on the wide unstructured information. They take an enormous range of messy data that make them structured and useful information.
DATA SCIENCE IS CATALYZING BUSINESS AND INNOVATION Elvis Muyanja
Today, data science is enabling companies, governments, research centres and other organisations to turn their volumes of big data into valuable and actionable insights. It is important to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. According to the McKinsey Global Institute, the U.S. alone could face a shortage of about 190,000 data scientists and 1.5 million managers and analysts who can understand and make decisions using big data by 2018. In coming years, data scientists will be vital to all sectors —from law and medicine to media and nonprofits. Has the African continent planned to train the next generation of data scientists required on the continent?
What are Entry Level Data Analyst Jobs?: A Guide Skills optnation1
Paid internships and employment training programmes that are directly related to their field of study are permitted for international students holding F-1 student visas, provided that the courses fall under the category of Optional Practical Training to their major subjects of study. You can search for remote data analyst jobs and other OPT positions in the USA with similar specialisations.
What is the difference between Data Science and Data Analytics.pdfRoshni Sharma
This article explores the distinction between data science and data analytics, highlighting the contrasting roles and methodologies employed in these two fields, helping readers gain a clear understanding of their unique contributions to the world of data.
Learn about the different Job Profiles in Big Data and Why is Big Data the best career move? Learn Big Data from StackDataLabs and get certified by the Professionals!
Data and Analytics Career Paths, Presented at IEEE LYC'19.
About Speaker:
Ahmed Amr is a Data/Analytics Engineer at Rubikal, where he leads, develops, and creates daily data/analytics operations, which includes data ingestion , data streaming, data warehousing, and analytical dashboards. Ahmed is graduated from Computer Engineering Department, Alexandria University; and he is currently pursuing his MSc degree in Computer Science, AAST. Professionally, Ahmed worked with Egyptian/US startups such as (Badr, Incorta, WhoKnows) to develop their data/analytics projects. Academically, Ahmed worked as a Teaching Assistant in CS department, AAST. Ahmed helps software companies to develop robust data engineering infrastructure, and powerful analytical insights.
References:
1) https://www.datacamp.com/community/tutorials/data-science-industry-infographic
2) Analytics: The real-world use of big data, IBM, Executive Report
Data scientists are the experts in analyzing and in delivering unique solutions for complex problems in business. They work on the wide unstructured information. They take an enormous range of messy data that make them structured and useful information.
DATA SCIENCE IS CATALYZING BUSINESS AND INNOVATION Elvis Muyanja
Today, data science is enabling companies, governments, research centres and other organisations to turn their volumes of big data into valuable and actionable insights. It is important to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. According to the McKinsey Global Institute, the U.S. alone could face a shortage of about 190,000 data scientists and 1.5 million managers and analysts who can understand and make decisions using big data by 2018. In coming years, data scientists will be vital to all sectors —from law and medicine to media and nonprofits. Has the African continent planned to train the next generation of data scientists required on the continent?
What are Entry Level Data Analyst Jobs?: A Guide Skills optnation1
Paid internships and employment training programmes that are directly related to their field of study are permitted for international students holding F-1 student visas, provided that the courses fall under the category of Optional Practical Training to their major subjects of study. You can search for remote data analyst jobs and other OPT positions in the USA with similar specialisations.
How can a data scientist expert solve real world problems? priyanka rajput
Expert data scientists are essential in today's data-driven world for resolving challenging real-world issues in a variety of fields. Their broad skill set, which includes data collection, preparation, modelling, validation, and deployment, gives them the means to draw out useful information from big, complicated datasets. You can opt for data science course in Hisar, Delhi, Pune, Chennai and other parts of India.
Huge amount of data is being collected everywhere - when we browse the web, go to the doctor's clinic, visit the supermarket, tweet or watch a movie. This plethora of data is dealt under a new realm called Data Science. Data Science is now recognized as a highly-critical growing area with impact across many sectors including science, government, finance, health care, social networks, manufacturing, advertising, retail,
and others. This colloquium will try to provide an overview as well as clarify bits and bats about this emerging field.
The talk is on How to become a data scientist. This was at 2ns Annual event of Pune Developer's Community. It focuses on Skill Set required to become data scientist. And also based on who you are what you can be.
Data Analytics Course In Bangalore-NovemberDataMites
Data analytics courses are educational programs designed to teach individuals the skills and techniques needed to work with data, analyze it, and extract meaningful insights.
For More Details: https://datamites.com/data-analytics-certification-course-training-bangalore/
The demand for data analytics professionals is expected to continue growing as organizations increasingly rely on data to drive decision-making and gain a competitive edge.
For More Details: https://datamites.com/data-analytics-certification-course-training-bangalore/
Data analytics courses are educational programs designed to teach individuals the skills and techniques needed to work with data, analyze it, and extract meaningful insights.
For More Details: https://datamites.com/data-analytics-certification-course-training-pune/
The demand for data analytics professionals is expected to continue growing as organizations increasingly rely on data to drive decision-making and gain a competitive edge.
For More Details: https://datamites.com/data-analytics-certification-course-training-pune/
Data analytics is widely applied in various fields and industries, including business, healthcare, finance, marketing, sports, and many more. It plays a crucial role in helping organizations make informed decisions, improve operational efficiency, understand customer behavior, identify opportunities, and mitigate risks.
For More Details: https://datamites.com/data-analytics-certification-course-training-chennai/
Data analytics courses are educational programs designed to teach individuals the skills and techniques needed to work with data, analyze it, and extract meaningful insights.
For More Details: https://datamites.com/data-analytics-certification-course-training-delhi/
Take the first step towards a rewarding career in data analytics with APTRON Solutions' Data Analytics Course in Noida. Whether you are a beginner or an experienced professional, our comprehensive training program will empower you to harness the power of data and drive business success. Enroll now and unlock a world of opportunities in the dynamic field of data analytics!
The demand for data analytics professionals is expected to continue growing as organizations increasingly rely on data to drive decision-making and gain a competitive edge.
For More Details: https://datamites.com/data-analytics-certification-course-training-chennai/
Data Scientist Salary, Skills, Jobs And Resume | Data Scientist Career | Data...Simplilearn
This presentation about "Data Science Engineer Career, Salary, and Resume" will help you understand who is a Data Science Engineer, the salary of a Data Science Engineer, Data Science Engineer Skillset and Data Science Engineer Resume. Data science is a systematic way to analyze a massive amount of data and extract information from them. Data Science can answer a lot of questions, as well. Data Science is mainly required for
better decision making, predictive analysis, and pattern recognition.
Below are topics that we will be discussing in this presentation:
1. Introduction to Data Science
2. Who is a Data Science Engineer
3. Data Science Engineer Skillset
4. Data Science Engineer job roles
5. Data Science Engineer salary trends
6. Data Science Engineer Resume
Why learn Data Science?
Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. The data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data, you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data.
You can gain in-depth knowledge of Data Science by taking our Data Science with python certification training course. With Simplilearn’s Data Science certification training course, you will prepare for a career as a Data Scientist as you master all the concepts and techniques. Those who complete the course will be able to:
1. Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics.
Install the required Python environment and other auxiliary tools and libraries
2. Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions
3. Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions
Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave
4. Perform data analysis and manipulation using data structures and tools provided in the Pandas package
5. Gain expertise in machine learning using the Scikit-Learn package
Data Science with python is recommended for:
1. Analytics professionals who want to work with Python
2. Software professionals looking to get into the field of analytics
3. IT professionals interested in pursuing a career in analytics
4. Graduates looking to build a career in analytics and data science
Learn more at https://www.simplilearn.com/big-data-and-analytics/python-for-data-science-training
The demand for data analytics professionals is expected to continue growing as organizations increasingly rely on data to drive decision-making and gain a competitive edge.
For More Details: https://datamites.com/data-analytics-certification-course-training-mumbai/
Start your Data Science career journey with an extensive & practical Data Science course designed for young professionals and recent college graduates. We provide in-depth knowledge of Python’s data analytics tools and techniques in this Data Science certification program.
Data analytics courses are educational programs designed to teach individuals the skills and techniques needed to work with data, analyze it, and extract meaningful insights.
For More Details: https://datamites.com/data-analytics-certification-course-training-mumbai/
Data Analytics Course In Chennai-NovemberDataMites
Data analytics courses are educational programs designed to teach individuals the skills and techniques needed to work with data, analyze it, and extract meaningful insights.
For More Details: https://datamites.com/data-analytics-certification-course-training-chennai/
Certified Data Scientist Training in Pune-May.pptxDataMites
Data science is an interdisciplinary field that involves extracting insights and knowledge from structured and unstructured data.
For More Info Visit: https://datamites.com/data-science-course-training-pune/
Certified Data Science Course in Pune-MayDataMites
Data science is an interdisciplinary field that involves extracting insights and knowledge from structured and unstructured data.
For More Info Visit: https://datamites.com/data-science-course-training-pune/
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Secure practices with dot net services.pptxKnoldus Inc.
Securing .NET services is paramount for protecting applications and data. Employing encryption, strong authentication, and adherence to best coding practices ensures resilience against potential threats, enhancing overall cybersecurity posture.
How can a data scientist expert solve real world problems? priyanka rajput
Expert data scientists are essential in today's data-driven world for resolving challenging real-world issues in a variety of fields. Their broad skill set, which includes data collection, preparation, modelling, validation, and deployment, gives them the means to draw out useful information from big, complicated datasets. You can opt for data science course in Hisar, Delhi, Pune, Chennai and other parts of India.
Huge amount of data is being collected everywhere - when we browse the web, go to the doctor's clinic, visit the supermarket, tweet or watch a movie. This plethora of data is dealt under a new realm called Data Science. Data Science is now recognized as a highly-critical growing area with impact across many sectors including science, government, finance, health care, social networks, manufacturing, advertising, retail,
and others. This colloquium will try to provide an overview as well as clarify bits and bats about this emerging field.
The talk is on How to become a data scientist. This was at 2ns Annual event of Pune Developer's Community. It focuses on Skill Set required to become data scientist. And also based on who you are what you can be.
Data Analytics Course In Bangalore-NovemberDataMites
Data analytics courses are educational programs designed to teach individuals the skills and techniques needed to work with data, analyze it, and extract meaningful insights.
For More Details: https://datamites.com/data-analytics-certification-course-training-bangalore/
The demand for data analytics professionals is expected to continue growing as organizations increasingly rely on data to drive decision-making and gain a competitive edge.
For More Details: https://datamites.com/data-analytics-certification-course-training-bangalore/
Data analytics courses are educational programs designed to teach individuals the skills and techniques needed to work with data, analyze it, and extract meaningful insights.
For More Details: https://datamites.com/data-analytics-certification-course-training-pune/
The demand for data analytics professionals is expected to continue growing as organizations increasingly rely on data to drive decision-making and gain a competitive edge.
For More Details: https://datamites.com/data-analytics-certification-course-training-pune/
Data analytics is widely applied in various fields and industries, including business, healthcare, finance, marketing, sports, and many more. It plays a crucial role in helping organizations make informed decisions, improve operational efficiency, understand customer behavior, identify opportunities, and mitigate risks.
For More Details: https://datamites.com/data-analytics-certification-course-training-chennai/
Data analytics courses are educational programs designed to teach individuals the skills and techniques needed to work with data, analyze it, and extract meaningful insights.
For More Details: https://datamites.com/data-analytics-certification-course-training-delhi/
Take the first step towards a rewarding career in data analytics with APTRON Solutions' Data Analytics Course in Noida. Whether you are a beginner or an experienced professional, our comprehensive training program will empower you to harness the power of data and drive business success. Enroll now and unlock a world of opportunities in the dynamic field of data analytics!
The demand for data analytics professionals is expected to continue growing as organizations increasingly rely on data to drive decision-making and gain a competitive edge.
For More Details: https://datamites.com/data-analytics-certification-course-training-chennai/
Data Scientist Salary, Skills, Jobs And Resume | Data Scientist Career | Data...Simplilearn
This presentation about "Data Science Engineer Career, Salary, and Resume" will help you understand who is a Data Science Engineer, the salary of a Data Science Engineer, Data Science Engineer Skillset and Data Science Engineer Resume. Data science is a systematic way to analyze a massive amount of data and extract information from them. Data Science can answer a lot of questions, as well. Data Science is mainly required for
better decision making, predictive analysis, and pattern recognition.
Below are topics that we will be discussing in this presentation:
1. Introduction to Data Science
2. Who is a Data Science Engineer
3. Data Science Engineer Skillset
4. Data Science Engineer job roles
5. Data Science Engineer salary trends
6. Data Science Engineer Resume
Why learn Data Science?
Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. The data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data, you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data.
You can gain in-depth knowledge of Data Science by taking our Data Science with python certification training course. With Simplilearn’s Data Science certification training course, you will prepare for a career as a Data Scientist as you master all the concepts and techniques. Those who complete the course will be able to:
1. Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics.
Install the required Python environment and other auxiliary tools and libraries
2. Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions
3. Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions
Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave
4. Perform data analysis and manipulation using data structures and tools provided in the Pandas package
5. Gain expertise in machine learning using the Scikit-Learn package
Data Science with python is recommended for:
1. Analytics professionals who want to work with Python
2. Software professionals looking to get into the field of analytics
3. IT professionals interested in pursuing a career in analytics
4. Graduates looking to build a career in analytics and data science
Learn more at https://www.simplilearn.com/big-data-and-analytics/python-for-data-science-training
The demand for data analytics professionals is expected to continue growing as organizations increasingly rely on data to drive decision-making and gain a competitive edge.
For More Details: https://datamites.com/data-analytics-certification-course-training-mumbai/
Start your Data Science career journey with an extensive & practical Data Science course designed for young professionals and recent college graduates. We provide in-depth knowledge of Python’s data analytics tools and techniques in this Data Science certification program.
Data analytics courses are educational programs designed to teach individuals the skills and techniques needed to work with data, analyze it, and extract meaningful insights.
For More Details: https://datamites.com/data-analytics-certification-course-training-mumbai/
Data Analytics Course In Chennai-NovemberDataMites
Data analytics courses are educational programs designed to teach individuals the skills and techniques needed to work with data, analyze it, and extract meaningful insights.
For More Details: https://datamites.com/data-analytics-certification-course-training-chennai/
Certified Data Scientist Training in Pune-May.pptxDataMites
Data science is an interdisciplinary field that involves extracting insights and knowledge from structured and unstructured data.
For More Info Visit: https://datamites.com/data-science-course-training-pune/
Certified Data Science Course in Pune-MayDataMites
Data science is an interdisciplinary field that involves extracting insights and knowledge from structured and unstructured data.
For More Info Visit: https://datamites.com/data-science-course-training-pune/
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In this session, we are going to cover Apache Spark, the architecture of Apache Spark, Data Lineage, Direct Acyclic Graph(DAG), and many more concepts. Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
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We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
2. Agenda:
● Introduction
● Key Roles in Data-Driven Organisation.
○ Data Analyst
○ Data Engineer
○ Applied ML Engineering
■ Data Scientist
■ Statistician
■ Applied ML Engineer
■ Ethicist
■ Social Scientist
■ Researcher
○ Tech Lead
■ Analytics Manager
■ Decision Maker
3. Introduction
● Data Science jobs are one of the hottest jobs
of 21st century and its demand is increasing
by the day
● In industry, there are different data science
roles we come across
● It’s tough to get a general understanding of
how they differ in terms of skill sets and what
they work on
● Getting brief insights of key job roles and
responsibilities of each title along with
skills/qualifications can help in understanding
roles in data science field.
6. Data Engineer
● For many organizations, Data Engineers are first hires on a data team.
● Data Engineers develops, constructs, tests and maintains architectures of databases and systems.
● They gather data from other websites through web scraping, API’s or IoT devices and ingests the data
into the data warehouse.
● Data Engineers create ETL (Extract, Transform and Load) processes to make sure that the data gets into
the data warehouse.
● Responsible for building efficient data pipelines.
Skill sets:
● Big data tools: Hadoop, Spark, Kafka, etc.
● SQL and NoSQL databases like PostgreSQL, Cassandra, MongoDB etc.
● R, Python, C/C++ Programming Languages.
● Cloud Services
7. Data Analyst
● A Data Analyst collects, processes, performs statistical analysis and creates visualizations on data.
● Analysts implement feature engineering, feature selection, clean the data using programming
languages, spreadsheets, and business intelligence tools to describe and categorize the data.
● The master data collected is managed by an analyst including creation, updation, deletion and
processing confidential data.
● Analyst creates report and analysis. Provides expertise on data storage structure, data mining and data
cleaning.
Skills sets:
● Structured Query Language(SQL) or any databases
● Data Mining, cleaning
● Data Analysis, Visualizations
● R or Python Programming Language
● Presentation skills
9. Statistician
● Statisticians are professionals who apply statistical methods and models to real-world problems.
● They gather, analyze, and interpret data to aid in many business decision-making processes.
● Statisticians are valuable employees in a range of industries, and often seek roles in areas such as business,
health and medicine, government, physical sciences, and environmental sciences.
● Daily tasks are likely to include:
○ Collecting, analyzing, and interpreting data
○ Identifying trends and relationships in data
○ Designing processes for data collection
○ Communicating findings to stakeholders
○ Advising organizational and business strategy
○ Assisting in decision making
Skill sets:
● Statistical theory and methods. Data Mining & Machine Learning
● Distributed Computing (Hadoop)
● Databases (SQL and NoSQL)
● R, Python, Spark programming Language
10. Applied ML Engineer
● The work of a Machine Learning Engineer is to bridge the gap between Data Scientist’s work and
production environment.
● Machine Learning Engineer is more concerned with deploying production-ready models.
● Removes errors from data sets and find correct data representation methods.
● Deploys the machine learning model to be integrated into the application/ website.
● Scaling and optimizing the model for production.
● Monitoring and maintenance of deployed models
Skill sets:
● Probability & Statistics
● Data Modeling and Evaluation.
● MLOps.
● Applying Machine Learning algorithms and libraries(Tensorflow, Pytorch)
● Software Engineering and system design(AWS, Azure, GCP)
11. Data Scientist
● A Data Scientist work based on the visualization provided by the data analytics team to build and
optimize classifiers using machine learning techniques
● Thoroughly clean data to discard irrelevant information and prepare the data for preprocessing and
modeling
● Performs exploratory data analysis (EDA) to determine how to handle missing data.
● Discovers new algorithms to solve problems & build programs to improve current strategies.
● Perform feature engineering, feature selection to implement analytical methods, machine learning and
statistical methods to prepare data for use in predictive and prescriptive modeling
Skill sets:
● Programming: Python, Java
● Applying Machine Learning algorithms and libraries(Scikit Learn, Tensorflow, PyTorch)
● Predictive Modeling
● Maths and Stats
● Effective Communication
12. Ethicist
● Data ethics is a cross-cutting discipline that assesses the wider societal impact of technology, producing
recommendations for technologists and data professionals. It involves thinking about fairness,
accountability, the law, moral dilemmas, and the risks involved in creating technology and data products
and policies.
● Data Ethicist in teams will enable Data Engineers and Data Scientists to innovate responsibly and respond to
the ongoing demand for implementing data ethics best practice.
● This critical role has been extremely successful in recent years in the private sector, and has been
instrumental in the development of high-risk data and artificial intelligence (AI) products.
● Skill Sets:
○ communication skills (data)
○ applied knowledge of social sciences
○ stakeholder relationship management
○ analysis and synthesis (data ethics)
○ bridging the gap between the technical and non-technical (data ethics)
○ product development (data ethics)
○ empathy and inclusivity
○ ethics and privacy
○ Problem-solving
○ facilitating decisions and risks
13. Social ScientistA social scientist
● AI has the potential to bring along diverse benefits for our health, safety and general well-being.
● A Social Scientist performs research on link between AI and societal impact of it.
● They can detect potential use of AI by considering societal implications of these technologies.
● Such individuals may be especially equipped to spot the problems in AI that aggravate long-ingrained
prejudices.
● They have proper domain knowledge on problem statement for which AI is used.
Social Scientist
14. Researcher
● AI researchers conceptualize and explore new ways of leveraging data by developing new AI algorithms,
i.e., they create and ask new questions that can be answered using AI.
● AI researchers focus on finding ways to analyze data in innovative ways for automated decision-making
and action.
● AI researchers, research novel forms of AI technology to create new applications that use data to drive
independent actions.
● Skill Set:
○ AI programming skills: This one goes without saying, but coding skills is a given for any professional in
the AI and data science domain. The best programming languages for AI development currently are
Python, Lisp, Prolog, R, C/C++ and Java. Out of these languages, Python is most preferred by both tech
companies and AI researchers themselves, possibly because of its ease of use.
○ Analytical thinking: Since artificial intelligence is closely intertwined with data analysis, analytical skills
are necessary for potential AI researchers. Having good analytical skills translates into the ability to
■ make sense of data
■ verify the validity of the data gathered
■ identify connections between different variables, and
■ form logical conclusions based on the available data.
16. Analytics Manager
● The complete cycle revolves around the enterprise goal.
● Identify the key business variables that the analysis needs to predict.
● Define the project goals by asking and refining "sharp" questions that are relevant, specific, and
unambiguous.
● Find the relevant data that helps you answer the questions that define the objectives of the
project.
● An Analytics Manager manages a team of analysts and data scientists
Skills sets:
● R, Python , SQL, SAS, Java Programming
● Leadership & project management
● Data Mining & Predictive modeling
● Interpersonal Communication
17. Decision Maker
● Real-world data sets are often noisy, are missing values, or have a host of other discrepancies.
● Aim is to produce a clean, high-quality data set whose relationship to the target variables is
understood.
● Develop a solution architecture of the data pipeline that refreshes and scores the data regularly